FAIRification of multiOmics data to link databases and create knowledge graphs for fermented foods
Published October 31, 2025 | Version v1
Dataset Open

Open Health Star Rating (OpenHSR)

Authors/Creators

  • 1. ROR icon Institut de Mathématiques de Toulouse
  • 2. ROR icon Université de Toulouse
  • 3. ROR icon University of Bologna
  • 4. ROR icon Institut de Recherche en Informatique de Toulouse
  • 5. INRIA Toulouse
  • 6. ANITI 2 Toulouse

Description

The dataset includes 246 food products from Australian retailers in 2025. Each record contains about 20 variables covering nutrients, metadata, and Health Star Ratings (HSR). It enables analysis of nutritional quality and labeling diversity while following FAIR principles for accessibility and reusability.

  • Nutrient Composition: Energy (kJ and kcal), protein, total fat, saturated fat, carbohydrates, sugars, fiber, and sodium (per 100 g).
  • Metadata: Product name, product type, category, country of origin, retailer, date collected, allergens, ingredients, and data source.
  • Health Star Rating (HSR): A score from 0.5 to 5 stars, representing overall nutritional quality.

The dataset is structured to support analysis of nutritional quality, HSR modeling, and food labeling research.

Files

OpenHSR.csv

Files (65.8 kB)

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md5:f0d4904f586fcdf07e254139e8de021d
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Additional details

Funding

European Commission
FAIROmics - FAIRification of multiOmics data to link databases and create knowledge graphs for fermented foods 101120449

Dates

Submitted
2025-10-31

Software

Repository URL
https://github.com/FloAI/OpenHSR
Programming language
Python
Development Status
Active